Cyberonics, Inc.

Livanova Usa, Inc.

Shivkumar Sabesan

Imad Libbus

Gerrard Merrill Carlson

Badri Amurthur

Steven E Maschino

Bruce H Kenknight

A method includes applying, by an implantable medical device (IMD), stimulation to a cranial nerve of a patient responsive to a determination that a level of synchrony between neural activity of one or more regions of an autonomic nervous system of the patient and one or more regions of a central nervous system of the patient falls below a first threshold and discontinuing the application of stimulation by the IMD when the level of synchrony exceeds a second threshold.

Cranial nerve stimulation to treat seizure disorders

Methods, systems, and apparatuses for detecting seizure events are disclosed, including a system for identification of an increased risk of a severe neurological event. The system may include an electroencephalogram ('EEG') monitoring unit configured to collect EEG data from the patient during at least a postictal phase or one or more seizures and a processing unit configured to receive the EEG data from the EEG monitoring unit. The processing unit is configured to detect postictal EEG suppression from the EEG data and to identify the increased risk of the severe neurological event based on the detected postictal EEG suppression. Other embodiments are described and claimed.

Methods, systems and apparatuses for detecting increased risk of sudden death

A method of detecting an improvement in a seizure condition of a patient includes identifying a first EEG synchronization of the seizure condition of the patient; applying a therapy configured to improve the seizure condition of the patient; and identifying a second EEG synchronization of the seizure condition of the patient subsequent to application of the therapy, wherein an improvement of the seizure condition of the patient is demonstrated by a reduced EEG synchronization of the patient such that the second EEG synchronization is less than the first EEG synchronization.

Evaluation of efficacy of epilepsy therapy

A method of detecting a subject's physiological status, seizure state, or seizure type with limb-based accelerometers identifying a favored accelerometer or limb that provides a better sensitivity or false positive rate as compared to other accelerometers or limbs. The detection method may include determining whether the seizure conforms with an anticipated seizure type, and determining whether to base a seizure detection on data from the favored or un-favored accelerometers or limbs. The method may also include applying a weighing factor to base the detection on data obtained primarily from the favored accelerometer or limb or to not rely on data obtained primarily from un-favored accelerometers or limbs. The method may also include comparing data obtained from a favored accelerometer or limb with data obtained from other accelerometers or limbs or obtained from detection devices using ECG or EEG. An alert may be generated based on the detection of a seizure.

Systems and methods of limb-based accelerometer assessments of neurological disorders

Methods, systems, and apparatuses for detecting seizure events are disclosed, including a system for identification of an increased risk of a severe neurological event. The system may include an electroencephalogram ('EEG') monitoring unit configured to collect EEG data from the patient during at least a postictal phase of one or more seizures and a processing unit configured to receive the EEG data from the EEG monitoring unit. The processing unit is configured to detect postictal EEG suppression from the EEG data and to identify the increased risk of the severe neurological event based on the detected postictal EEG suppression. Other embodiments are described and claimed.

A method includes determining a measurement indicative of a synchrony between one or more regions of a patient's autonomic nervous system (e.g., the NTS) and one or more regions of the patient's central nervous system (e.g., the thalamus, the cortex) based on body parameter data. The method also includes adjusting a cranial nerve stimulation parameter based on the measurement.

A method includes determining sleep cycle information related to a sleep cycle of a patient based on body parameter data. The method also includes adjusting a cranial nerve stimulation parameter based on the sleep cycle information.

Optimization of cranial nerve stimulation to treat seizure disorders during sleep

A method includes receiving heartbeat data of a patient and receiving activity data of the patient. The activity data includes one or more activity values that are related to an activity level of the patient and that are measured independently of the heartbeat data. The method further includes determining a value of a weighting factor based on the activity data. The method also includes determining modified heartbeat data by applying the weighting factor to at least a portion of the heartbeat data. The method also includes detecting a seizure event based on the modified heartbeat data.

Detecting seizures based on heartbeat data

Methods, systems, and apparatuses for detecting seizure events are disclosed, having at least one accelerometer to be positioned on a patient and configured to collect acceleration data and a processor in communication with the at least one accelerometer and configured to receive acceleration data from the at least one accelerometer. The processor may apply at least one non-linear operator to the acceleration data to determine whether the acceleration data indicates an event, such application including calculation of a non-linear energy of the acceleration data and performance of at least one secondary analysis to determine whether the event is a seizure.

Methods, systems and apparatuses for detecting seizure and non-seizure states

A method includes determining sleep cycle information related to a sleep cycle of a patient based on body parameter data. The method also includes adjusting a cranial nerve stimulation parameter based on the sleep cycle information. The method further includes applying a cranial nerve stimulation therapy to treat depression based on the adjusted cranial nerve stimulation parameter.

Cranial nerve stimulation to treat depression during sleep

This disclosure relates to devices, systems, and methods for validating locational data for a monitoring device. The external monitoring device located on a patient may include one or more processors, one or more memory devices, one or more power devices, one or more heart rate detection devices, and one or more heart sound detection devices. Further, the method may include determining a plurality of status of an external monitoring device located on a patient via one or more processors based on obtained heart rate data and obtained heart sound data. The external monitoring device state may be generated via a validation module based on the heart rate data and the heart sound data.

Growing community of inventors

Houston, TX, United States of America

Shivkumar Sabesan